iQ-Image Analysis API

Discovering a robust solution for image quality testing is essential. Our iq-image analysis API provides the ultimate foundation for advanced sensor evaluation and automated end-of-line testing. Gain precise, customizable results to optimize your system performance and meet unique evaluation specifications with high-speed data analysis.

The iQ-Image Analysis API is the foundation for providing individual solutions for your end-of-line testing needs. This API can accommodate individual pass/fail thresholds for automating end-of-line testing.

The API is written in C++ and can be integrated into existing software. It allows for high-speed data analysis and transfer, making it especially useful for production line evaluations.

iQ-Image Analysis API is used to create custom measurement modules that meet individual evaluation specifications (e.g., pass/fail thresholds). We work with each customer to build an API to their requirements. Using available modules as the API foundation allows us to add the desired specifications to provide a custom solution.

Example modules

• Particle module: Detect particles and obtain metadata information such as position, size, and orientation.

• Defective pixel module: Detect defect pixels in Bayer-pattern images. The report includes the defect pixel’s position, amount, and cluster size.

• Color calibration module: Measure the spectral sensitivity of a camera module based on a defined data set and calculate individual color correction matrices (CCMs).

• Color module: Calculate metrics (e.g., ∆E) for color reproduction tests.

• Shading module: Calculate spatial intensity non-uniformity in each channel from the brightest to the lowest area and color ratios (R/G B/G).

• Resolution module: Calculate SFR, ESF, and LSF based on slanted edges, Siemens stars or Dead Leaves. 

• OECF/Noise module: Measure the OECF curve, check linearity, and calculate white balance multipliers, dynamic range and signal-to-noise ratio.